Gone are those old days when people prioritized career options like a doctor, engineer, government employee or lawyer. As times change, new job roles are replacing the ones mentioned above. The role of a Data Scientist has received the title of -The Sexiest Job of the 21st Century.
Apart from that, machine learning is also booming as a career. According to indeed.com listings of the best jobs in the U.S, Machine learning engineer stands no. 1.
The primary issue is where to begin and how to. Courses can only provide theoretical knowledge, which is not enough. To get any work in these fields with no work experience is a struggle!
This problem can be solved by doing a few projects. It helps you get in-depth knowledge and is suitable for your CV.
DATA SCIENCE PROJECTS
FINDING OUT A RETAIL STORE’S EXPECTED SALES NUMBERS
Most retail stores use data science. It helps them track customer wants and make more data-oriented business decisions. It plays a huge role in estimating the sales figures and the risks to the retail stores. Just go to a retail store around you and offer to help them out for free. It will help you and them.
FAKE NEWS DETECTION
We find most of our parents sharing fake news. Fact is, fake news spreads 6X faster than real one. Over here, a data scientist can help us understand If a piece of news is real or fake. Creating a TfidfVectorizer classifier and then using the PassiveAggressiveClassifier helps detect the false news. For fake news detection language used is python. The best place to work on this project is JupyterLab. You will find a 7796×4 shaped dataset there.
PROJECT ON DETECTING CREDIT CARD FRAUDS
Over here, your aim as a data scientist is to create a classifier. It aims to understand whether a transaction is valid or not. For this, many ML algorithms are used. Use language R or Python; the dataset will be the data received on a credit card transaction.
FILM RECOMMENDATION SYSTEM
All OTT platforms require a film recommending system. It helps people get customized content. Movielens dataset is the best way to get started. It has 6040 users and 3900 films with 1000209 ratings. Work on this dataset to build a cloud visualization of the film titles for making a film recommending system.
WINE QUALITY PREDICTION USING WINE QUALITY DATASET
Regarding wine quality certification, physiochemical tests play an essential role. Like the quality of wine, having a fixed acidity, density determination, PH Levels etc. Over here, your job is to create an ML model which predicts the wine quality. It is done based on understanding its chemical properties. Its dataset has 4898 observations. Use data visualization and find out feature variable space. Then create a report and adjust the framework of the model to get accuracy.
You can work on these projects even through online virtual internships. These online internships in data science and machine learning help you decide if you wish to make a career in it. You can apply for these internships through Internshipgate.